PhD in Computerized Image Processing and Physics-Informed Machine Learning for Green Hydrogen Production Uppsala University in Sweden

Uppsala University is recruiting a PhD student in computerized image processing and physics-informed machine learning for green hydrogen production. The project sits at the intersection of computer science, machine learning, computer vision, physics-informed modeling, materials science, and mathematics, with a strong application focus on accelerating Sweden’s transition to green hydrogen.

The research will study proton exchange membrane water electrolyzers (PEMWE) and thermally sprayed titanium layers used for corrosion protection. The PhD student will develop automated pipelines for X-ray computed tomography (XCT) image segmentation and analysis, extract physically meaningful microstructural descriptors, build probabilistic surrogate models and a digital twin linking microstructure to electrochemical performance, and use Bayesian experimental design and process optimization to guide manufacturing parameters. The work is supervised by Ida-Maria Sintorn and Jens Sjölund at the Department of Information Technology, Uppsala University, in collaboration with Alleima and Sandvik.

Eligible backgrounds include engineering physics, electrical engineering, image processing, computer vision, AI, machine learning, data science, computer science, and applied mathematics, or equivalent qualifications. Strong programming skills, preferably in Python, excellent study results, and good English communication skills are expected. Experience in image analysis, deep learning, optimization, numerical linear algebra, visualization, and software engineering is considered an advantage.

The position is a temporary full-time PhD employment at Uppsala University. The employment may include up to 20% departmental duties such as teaching and administration. The starting date is 1 September 2026 or as agreed. The application deadline is 7 May 2026.

To apply, prepare a cover letter in English, a CV, degree documents and transcripts, thesis or scientific writing samples, publications, and reference details. Submit the application through Uppsala University’s recruitment system.